Sökning: "robust VQ"

Hittade 3 avhandlingar innehållade orden robust VQ.

  1. 1. On Soft Decoding and Robust Vector Quantization

    Författare :Mikael Skoglund; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; speech and image coding; intersymbol interference; Rayleigh fading; soft decoding; CDMA; index assignment; Hadamard transform; channel optimized VQ; robust VQ; combined source-channel coding; vector quantization VQ ; noisy channels;

    Sammanfattning : This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an important technique for block-based source coding, with applications in, e.g., speech and image coding. LÄS MER

  3. 2. On Robust LPC-spectrum Coding and Vector Quantization

    Författare :Roar Hagen; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robustness against channel noise; LPC-spectrum coding; vector quantization; speech coding; linear mapping of a block code;

    Sammanfattning : Digital speech coding is concerned with representing a discrete-time speech signal with as few bits per second as possible without introducing annoying artifacts in the coded speech. Many modern speech coders are based on Linear Predictive Coding (LPC) which employ a source-filter model for speech production. LÄS MER

  4. 3. Source and Channel Coding for Audiovisual Communication Systems

    Författare :Moo Young Kim; Bastiaan Kleijn; Richard Heusdens; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Telekommunikation; Information theory; high-rate theory; source coding; channel coding; quantization; Telekommunikation; Telecommunication; Telekommunikation;

    Sammanfattning : Topics in source and channel coding for audiovisual communication systems are studied. The goal of source coding is to represent a source with the lowest possible rate to achieve a particular distortion, or with the lowest possible distortion at a given rate. Channel coding adds redundancy to quantized source information to recover channel errors. LÄS MER